Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs

Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China

“…It is used to empirically measure productive efficiency of decision-making units (DMUs). Moreover, the low-carbon economy performance evaluation by TFP has rapidly expanded to include carbon emission calculations [11][12][13], carbon emission influence analysis [14][15][16], industrial carbon emission [17][18][19][20], and carbon emission reduction [21][22][23][24]. Meanwhile, regional diversity plays a key role in the processing of low-carbon emission transformation.…”

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

“…We note that Pantzios et al [30] extend the framework of Fuentes et al [28], and decompose the Malmquist productivity index into technical change, technical efficiency change, scale efficiency change and input-mix effect. He et al [31] use data envelopment analysis (DEA)-Malmquist productivity index techniques to measure the energy efficiency and productivity change for 50 iron and steel enterprises from 2001 to 2008. The results show that the annual growth rate of total factor productivity averages 7.96% during this period, and that technical change is the main source of this growth.…”

Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis

“…He et al [26] use DEA-Malmquist productivity index techniques to measure the energy efficiency and productivity change for 50 iron and steel enterprises from 2001 to 2008. The results show that inefficiency is present in most surveyed enterprises, average energy efficiency is only 61.1%, and the annual growth rate of total factor productivity averages of 7.96% during this period, technical change is the main source of this growth.…”